Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2") model = AutoModelForImageClassification.from_pretrained("dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2: direct link, hf CLI and curl.
- Browser
- Download file 110 MB
-
https://huggingface.co/dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dvs/swin-tiny-patch4-window7-224-uploads-classifier-v2/resolve/main/pytorch_model.bin
110 MB
- Xet hash:
- a47a19e9affad9ea6d32141d7a79ca3f775bd57bc112bb50e6d2613965fbedc5
- Size of remote file:
- 110 MB
- SHA256:
- 981cfde2587d23716fe7a8a7e4e304ffa6a3e62de6ff5a6847ef058731d15396
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